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唐海燕等:基于灰箱模型的LF精炼终点温度预测 ·145· simulation of the thermal state of ladles.Metallurgical Materials (王安娜,田慧欣,姜周华,等.基于信息融合算法的LF炉钢 Transactions B,1999,30(2):323 水温度预测.钢铁研究学报,2005,17(6):71) B]Tao Z Y,Jang M F,Liu C J.Prediction of molten steel end point 7]Okura T,Ahmad I,Kano M,et al.High-performance prediction temperature in LF based on modified artificial neural network. of molten steel temperature in tundish through gray-box model. Special Steel,2006,27(6):21 ISIJ International,2013,53(1):76 (陶子玉,姜茂发,刘承军.基于改进人工神经网络的F钢 [8]Qu H B.Modeling method based on PLS.J Zhejiang Unir Eng 水终点温度预报.特殊钢,2006,27(6):21) Sci,1999,33(5):471 [4]Li J,He D F,Xu A J,et al.GA-PSO-BP neural network based (瞿海斌.基于PS的建模方法.浙江大学学报:工学版, prediction model for LF end point temperature.Steelmaking, 1999,33(5):471) 2012,28(3):50 [9]Zeng J S,Liu X G,Luo S H,et al.Application of principal com- (李军,贺东风,徐安军,等.基于GA一SO-BP神经网络的 ponent regression and partial least square in blast furnace iron- F终点温度预测.炼钢,2012,28(3):50) making.J Zhejiang Unir Sci Ed,2009,36(1):33 [5]He F,Xu A J,Wang H B,et al.End temperature prediction of (曾九孙,刘祥官,罗世华,等.主成分回归和偏最小二乘法 molten steel in LF based on CBR.Steel Research International, 在高炉治炼中的应用.浙江大学学报:理学版,2009,36(1): 2012,83(11):1079 33) Wang A N,Tian H X,Jiang Z H,et al.Temperature prediction [10]Li J.LF Refining Technology.Beijing:Metallurgic Industry of molten steel for LF based on information fusion technique.Jour- Press,2009 nal of Iron and Steel Research,2005,17 (6):71 (李品.LF精练技术.北京:治金工业出版社,2009)唐海燕等: 基于灰箱模型的 LF 精炼终点温度预测 simulation of the thermal state of ladles. Metallurgical Materials Transactions B,1999,30( 2) : 323 [3] Tao Z Y,Jang M F,Liu C J. Prediction of molten steel end point temperature in LF based on modified artificial neural network. Special Steel,2006,27( 6) : 21 ( 陶子玉,姜茂发,刘承军. 基于改进人工神经网络的 LF 钢 水终点温度预报. 特殊钢,2006,27( 6) : 21) [4] Li J,He D F,Xu A J,et al. GA--PSO--BP neural network based prediction model for LF end point temperature. Steelmaking, 2012,28( 3) : 50 ( 李军,贺东风,徐安军,等. 基于 GA--PSO--BP 神经网络的 LF 终点温度预测. 炼钢,2012,28( 3) : 50) [5] He F,Xu A J,Wang H B,et al. End temperature prediction of molten steel in LF based on CBR. Steel Research International, 2012,83( 11) : 1079 [6] Wang A N,Tian H X,Jiang Z H,et al. Temperature prediction of molten steel for LF based on information fusion technique. Jour￾nal of Iron and Steel Research,2005,17 ( 6) : 71 ( 王安娜,田慧欣,姜周华,等. 基于信息融合算法的 LF 炉钢 水温度预测. 钢铁研究学报,2005,17( 6) : 71) [7] Okura T,Ahmad I,Kano M,et al. High-performance prediction of molten steel temperature in tundish through gray-box model. ISIJ International,2013,53( 1) : 76 [8] Qu H B. Modeling method based on PLS. J Zhejiang Univ Eng Sci,1999,33( 5) : 471 ( 瞿海斌. 基于 PLS 的建模方法. 浙江 大 学 学 报: 工 学 版, 1999,33( 5) : 471) [9] Zeng J S,Liu X G,Luo S H,et al. Application of principal com￾ponent regression and partial least square in blast furnace iron￾making. J Zhejiang Univ Sci Ed,2009,36( 1) : 33 ( 曾九孙,刘祥官,罗世华,等. 主成分回归和偏最小二乘法 在高炉冶炼中的应用. 浙江大学学报: 理学版,2009,36( 1) : 33) [10] Li J. LF Refining Technology. Beijing: Metallurgic Industry Press,2009 ( 李晶. LF 精练技术. 北京: 冶金工业出版社,2009) · 541 ·
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